Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...
To raise public awareness, the Indian Academy of Neurology's runner group will organize a special run titled "Run for Brain." On Friday, a T-shirt launch ceremony for the event was held in Hall No. 7, ...
Two researchers at Stanford University suggest in a new preprint research paper that repeatedly optimizing large language ...
Humanoid robots capture the public imagination, and investors are backing them. That means a lot of reports will be incoming, ...
The intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Background Smoke-free and aerosol-free households (SAFHs) reduce exposure to secondhand smoke and aerosol and support ...
This study presents a fundamental discovery of how cerebellar climbing fibers modulate plastic changes in the somatosensory cortex by identifying both the responsible cortical circuit and the ...
Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing ...
By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...
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